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      <h1>背景资料</h1>
      <p>
        As an informal group of space agencies and international organizations,
        the Space Climate Observatory (SCO) International Initiative addresses
        the need to step up international coordination for accurate assessment
        and monitoring of the consequences of climate change from observations
        and numerical models. By conceiving methodologies that combine various
        data sources to provide scenarios for action, the SCO aims to become an
        important tool for decision-making on preparedness, adaptation and
        resilience to the impacts of climate change at the local level.
      </p>
      <section>
        <h2>Project Status</h2>
        <ol>
          <li>
            <h3>(1) The end-user(s) of the proposed project/service</h3>
            <ul>
              <li>
                <p>
                  <strong>Government: </strong>
                  provide the government departments with relevant information
                  on coastline changes and soil quality changes caused by the
                  impact of climate change, so as to support government
                  decision-making;
                </p>
              </li>
              <li>
                <p>
                  <strong
                    >Jiangsu Agricultural Reclamation Group (JARG):</strong
                  >
                  provide technical support of the agricultural development
                  within the tideland and saline-alkali land for JARG;
                </p>
              </li>
              <li>
                <p>
                  <strong>University & Scientific Research Institution:</strong>
                  provide relevant research data and models for the above
                  institutions.
                </p>
              </li>
            </ul>
          </li>
          <li>
            <h3>(2) Data used in the project</h3>
            <ul>
              <li>
                <p>
                  <strong>Gaofen Satellite Series data: </strong>
                  GF-1, GF-2, GF-3, GF-4, GF-6.
                </p>
              </li>
              <li>
                <p>
                  <strong>Other Satellite data:</strong>Landsat-8, HJ1A/B,
                  Sentinel-2.
                </p>
              </li>
              <li>
                <p>
                  <strong>Field Measurement Data and Documentation: </strong>
                  Thematic data such as port development data, agricultural
                  planting area data, land area data, and social demographic
                  data.
                </p>
              </li>
            </ul>
          </li>
          <li>
            <h3>(3) Pilot partners involved in your project</h3>
            <ul>
              <li>
                <p>
                  Aerospace Information Research Institute, Chinese Academy of
                  Science
                </p>
              </li>
              <li>
                <p>Jiangsu Institute of Surveying and Mapping</p>
              </li>
              <li>
                <p>Jiangsu Agricultural Reclamation Group</p>
              </li>
            </ul>
          </li>
          <li>
            <h3>(4) The “scalability” and “transportability” of the project</h3>
            <p style="padding: 0 2em">
              This project has the good ability for scalability and
              transportability because of the public data, the robust
              algorithms, the open software, and the vast application scenarios.
              The model and software can be applied to soil quality assessment
              of relevant areas, coastline extraction, and the relationship
              mining between them in other coastal areas of China and even the
              world, which provides technical support for agricultural
              development and food security in coastal tidal areas.
            </p>
          </li>
          <li>
            <h3>(5) The key strengths of the project</h3>
            <ul style="padding: 0 2em">
              <li>
                Analysing the impact of climate change on coastline changes.
              </li>
              <li>
                Mining the relationship between shoreline change and soil
                salinization.
              </li>
              <li>
                Exploring the Influence of LUCC evolution and precipitation on
                soil quality.
              </li>
            </ul>
          </li>
        </ol>
      </section>
      <!-- 参考文献 -->
      <section>
        <h2>参考文献</h2>
        <ol>
          <li>
            [1] Abdou B , Al-Ali Z M . Assessing Climate Change Impact on Soil
            Salinity Dynamics between 1987-2017 in Arid Landscape Using Landsat
            TM, ETM+ and OLI Data[J]. Remote Sensing, 2020, 12(17)(soil
            salinity):2794.
          </li>
          <li>
            [2] El-Nahry A H , Doluschitz R . Climate change and its impacts on
            the coastal zone of the Nile Delta, Egypt[J]. Environmental Earth
            Sciences, 2010, 59(7):1497-1506.
          </li>
          <li>
            [3] Chen Z Z . Climate change impacts and adaptation for saline
            agriculture in north Jiangsu Province, China[J]. Environmental
            Science & Policy, 2013.
          </li>
          <li>
            [4] Corwin D L . Climate change impacts on soil salinity in
            agricultural areas[J]. European Journal of Soil Science, 2020.
          </li>
          <li>
            [5] Dagar J C , Sharma P C , Chaudhari S K , et al. Climate Change
            vis-a-vis Saline Agriculture: Impact and Adaptation Strategies[M].
            Springer India, 2016.
          </li>
          <li>
            [6] Chen J , Mueller V . Coastal climate change, soil salinity and
            human migration in Bangladesh[J]. Nature Climate Change, 2018.
          </li>
          <li>
            [7] Eswar D , Karuppusamy R , Chellamuthu S . Drivers of soil
            salinity and their correlation with climate change[J]. Current
            Opinion in Environmental Sustainability, 2021.
          </li>
          <li>
            [8] Simas T , Nunes J P , Ferreira J G . Effects of global climate
            change on coastal salt marshes[J]. Ecological Modelling, 2001,
            139(1):1-15.
          </li>
          <li>
            [9] Rahman M S , Di L , Yu E G , et al. Impact of Climate Change on
            Soil Salinity: A remote sensing based investigation in Coastal
            Bangladesh[C]// 2018 7th International Conference on
            Agro-geoinformatics (Agro-geoinformatics). IEEE, 2018.
          </li>
          <li>
            [10] Gorji T , Yldrm A , Sertel E , et al. Remote sensing approaches
            and mapping methods for monitoring soil salinity under different
            climate regimes[J]. International Journal of Environment and
            Geoinformatics, 2019, 6(1):33.
          </li>
          <li>
            [11] Elia Scudiero, Dennis L. Corwin, Ray G. Anderson, Kevin Yemoto,
            Wesley Clary, Zhi “Luke” Wang and Todd H. Skaggs. Remote sensing is
            a viable tool for mapping soil salinity in agricultural lands
          </li>
          <li>
            [12] Jianguo L I , Lijie P U , Han M , et al. Soil salinization
            research in China: Advances and prospects[J]. 地理学报(英文版),
            2014, 24(5):943-960.
          </li>
          <li>
            [13] Da Liakopoulos I N , Tsanis I K , Koutroulis A , et al. The
            threat of soil salinity: A European scale review[J]. Science of the
            Total Environment, 2016, 573:727-739.
          </li>
          <li>
            [14] 张洪宇. 海兴县盐碱地现状及改良措施[J]. 现代农村科技, 2020,
            No.591(11):60-60.
          </li>
          <li>
            [15] 马赞留, 戴云新, 蔡红海,等. 江苏滨海地区盐碱地现状及改良措施[J].
            现代园艺, 2015, 000(014):189-190.
          </li>
          <li>
            [16] 张兴.
            天津滨海盐碱地地区土壤现状调查及绿化对策——以万科东丽湖度假区为例[J].
            天津农业科学, 2017(4).
          </li>
          <li>[17] 江杰, 王胜. 我国盐碱地成因及改良利用现状.</li>
          <li>
            [18] 杨立杰, 侯卓. 通榆县盐碱地时空分布与影响因素空间分布分析[J].
            黑龙江科技信息, 2014(12):58-58.
          </li>
          <li>
            [19] 焦元波, 田夏一, 胡宝清.
            黄河三角洲盐碱地信息遥感提取及动态变化分析——以山东垦利县为例[J].
            大众科技, 2016, 18(012):31-34.
          </li>
        </ol>
      </section>
    </div>

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